<?xml version="1.0" encoding="ISO-8859-1"?>
<metadata>
<idinfo>
<citation>
<citeinfo>
<origin>Viki Bankey</origin>
<origin>Alejandro Cuevas</origin>
<origin>David Daniels</origin>
<origin>Carol A. Finn</origin>
<origin>Israel Hernandez</origin>
<origin>Patricia Hill</origin>
<origin>Robert Kucks</origin>
<origin>Warner Miles</origin>
<origin>Mark Pilkington</origin>
<origin>Carter Roberts</origin>
<origin>Walter Roest</origin>
<origin>Victoria Rystrom</origin>
<origin>Sarah Shearer</origin>
<origin>Stephen Snyder</origin>
<origin>Ronald Sweeney</origin>
<origin>Julio Velez</origin>
<origin>Phillips, J.D.</origin>
<origin>Ravat, D.</origin>
<pubdate>2002</pubdate>
<title>Digital data grids for the magnetic anomaly map of North America</title>
<geoform>raster digital data</geoform>
<serinfo>
<sername>U.S. Geological Survey Open-File Report</sername>
<issue>02-414</issue>
</serinfo>
<pubinfo>
<pubplace>Denver, Colorado, USA</pubplace>
<publish>U.S. Geological Survey</publish>
</pubinfo>
<othercit>
This citation generally refers to the DVD and USGS web site
that presents the digital gridded data used to make
the North American magnetic map.

Modifications have been made to reflect the use of this on
the Mineral Resource Spatial Data website (mrdata.usgs.gov)
in such areas as projection and image resolution. The image
and grid available on http://mrdata.usgs.gov/ is the one
referred to as USmag_hp500.grd.
</othercit>
<onlink>http://pubs.usgs.gov/of/2002/ofr-02-414/</onlink>
</citeinfo>
</citation>
<descript>
<abstract>
A digital magnetic anomaly database and map for the North American
continent is the result of  a joint effort by the Geological Survey
of Canada (GSC), U. S. Geological Survey (USGS), and Consejo de Recursos
Minerales of Mexico (CRM).  The database and map represent a substantial
upgrade from the previous compilation of magnetic anomaly data for North
America, now over a decade old.
</abstract>
<purpose>
This integrated, readily accessible, modern digital database of magnetic
anomaly data will be a powerful tool for further evaluation of the
structure, geologic processes, and tectonic evolution of the continent
and may also be used to help resolve societal and scientific issues that
span national boundaries.  The North American magnetic anomaly map
derived from the digital database provides a comprehensive magnetic
view of continental-scale trends not available in individual data sets,
helps link widely separated areas of outcrop, and unifies disparate
geologic studies.
</purpose>
<supplinf>
Publicly available airborne and marine magnetic data have been collected
in North America primarily by the governments of Canada, the U.S.,
and Mexico.
</supplinf>
</descript>
<dsstruct>
<dspart>
<dsptname>USmag_origmrg.grd</dsptname>
<dspttype>Geosoft grid (GRD) file</dspttype>
<dsptdesc>The residual total intensity of the Earth&apos;s magnetic field</dsptdesc>
</dspart>
<dspart>
<dsptname>USmag_hp500.grd</dsptname>
<dspttype>Geosoft grid (GRD) file</dspttype>
<dsptdesc>500-km high-pass filtered grid calculated from residual magnetic grid</dsptdesc>
</dspart>
<dspart>
<dsptname>USmag_CM.grd</dsptname>
<dspttype>Geosoft grid (GRD) file</dspttype>
<dsptdesc>The result of removing a magnetic field that was calculated from satellite magnetic data by Tiku Ravat of Southern Illinois University.</dsptdesc>
</dspart>
</dsstruct>
<timeperd>
<timeinfo>
<rngdates>
<begdate>1945</begdate>
<enddate>2001</enddate>
</rngdates>
</timeinfo>
<current>Data collection period</current>
</timeperd>
<status>
<progress>complete</progress>
<update>none planned</update>
</status>
<spdom>
<bounding>
<westbc>-128.5</westbc>
<eastbc>-65.0</eastbc>
<northbc>49.5</northbc>
<southbc>23.3</southbc>
</bounding>
</spdom>
<keywords>
<place>
<placekt>none</placekt>
<placekey>United States</placekey>
<placekey>Mexico</placekey>
<placekey>Canada</placekey>
<placekey>Atlantic Ocean</placekey>
<placekey>Pacific Ocean</placekey>
</place>
<theme>
<themekt>none</themekt>
<themekey>aeromagnetic data</themekey>
<themekey>geophysical data</themekey>
<themekey>aeromagnetic grid</themekey>
<themekey>North American magnetic map</themekey>
</theme>
</keywords>
<accconst>none</accconst>
<useconst>none</useconst>
<ptcontac>
<cntinfo>
<cntperp>
<cntper>Robert P. Kucks</cntper>
<cntorg>U.S. Geological Survey</cntorg>
</cntperp>
<cntaddr>
<addrtype>mailing address</addrtype>
<address>
Box 25046, Mail Stop 964
Denver Federal Center
</address>
<city>Denver</city>
<state>CO</state>
<postal>80225-0046</postal>
<country>USA</country>
</cntaddr>
<cntvoice>303-236-1405</cntvoice>
<cntemail>rkucks@usgs.gov</cntemail>
</cntinfo>
</ptcontac>
<browse>
<browsen>ftp://ftpext.usgs.gov/pub/cr/co/denver/musette/pub/open-file-reports/ofr-02-0414/NAmag.jpg</browsen>
<browsed>low-resolution graphic file of 1000-meter merged gridded data</browsed>
<browset>jpeg</browset>
</browse>
<datacred>
North American Magnetic Anomaly Group (NAMAG)
&gt;Viki Bankey (USGS)
&gt;Alejandro Cuevas (CRM)
&gt;David Daniels (USGS)
&gt;Carol A. Finn (USGS)
&gt;Israel Hernandez (CRM)
&gt;Patricia Hill (USGS)
&gt;Robert Kucks (USGS)
&gt;Warner Miles (GSC)
&gt;Mark Pilkington (GSC)
&gt;Carter Roberts (USGS)
&gt;Walter Roest (GSC)
&gt;Victoria Rystrom (USGS)
&gt;Sarah Shearer (USGS)
&gt;Stephen Snyder (USGS)
&gt;Ronald Sweeney (USGS)
&gt;Julio Velez (CRM)
&gt;Jeffrey Phillips (USGS)
&gt;D.K.A. Ravat (Southern Illinois University)
</datacred>
<native>
These grids were created using the proprietary software Oasis Montaj,
from Geosoft, Inc., and are in Geosoft grid format.  A free Geosoft
interface is available at:

http://www.geosoft.com/pinfo/free/

This interface can export grids to many other common formats.
</native>
<crossref>
<citeinfo>
<origin>U.S. Geological Survey</origin>
<origin>National Geophysical Data Center</origin>
<pubdate>2002</pubdate>
<title>
Digital aeromagnetic data sets of the
Conterminous United States and Hawaii
</title>
<geoform>digital aeromagnetic profile data</geoform>
<serinfo>
<sername>U.S. Geological Survey Open-File Report</sername>
<issue>02-361</issue>
</serinfo>
<pubinfo>
<pubplace>Denver, CO, USA</pubplace>
<publish>U.S. Geological Survey</publish>
</pubinfo>
<othercit>
Report contains digital aeromagnetic profile data from
airborne surveys flown in the United States for the USGS.
These data were processed from the original digital data
provided by the contractor or the USGS.

Data are available either on a DVD or online at the address below.
</othercit>
<onlink>http://pubs.usgs.gov/of/2002/ofr-02-0361</onlink>
</citeinfo>
</crossref>
<crossref>
<citeinfo>
<origin>U.S. Geological Survey</origin>
<pubdate>1999</pubdate>
<title>
Digitized Aeromagnetic datasets for the conterminous United States,
Hawaii, and Puerto Rico.
</title>
<geoform>xyz ASCII data</geoform>
<serinfo>
<sername>U.S. Geological Survey Open-File Report</sername>
<issue>99-557</issue>
</serinfo>
<pubinfo>
<pubplace>Denver, CO</pubplace>
<publish>U.S. Geological Survey</publish>
</pubinfo>
<othercit>
The data available in this report are a compilation of digitally
converted analog magnetic field intensity maps from the USGS
or other public sources.
</othercit>
<onlink>http://pubs.usgs.gov/of/1999/ofr-99-0557/html/mag_home.html</onlink>
</citeinfo>
</crossref>
</idinfo>
<dataqual>
<attracc>
<attraccr>
Grid values represent the total intensity of the Earth&apos;s magnetic field
after removal of the International Geomagnetic Reference Field (IGRF).
Measurements were made using a variety of magnetometer systems with
typical accuracies of 1 to 10 nanotesla (nT).

The grids presented in this report were made from numerous individual
grids that were mathematically merged together using standard
techniques.  Individual metadata files exist for USGS gridded
data created from digital flight-line data
(see USGS Open-File Report 02-0361).

The data in the original grids have been processed using formulas and
methods that are not usually documented but that represent
industry standard practices for airborne data reduction.
</attraccr>
</attracc>
<logic>
The data in this file were collected by various contractors or groups
who were responsible for collecting and processing the data.

The data used to make these grids were collected using different instruments
(magnetometers, altimeters, navigational systems) throughout
the survey, but were usually consistent within each survey.

Survey contracts specified the conditions and specifications under which
these data were collected.  Standard industry practices of the time
were followed in data collection and processing.
</logic>
<complete>
The North American Magnetic Anomaly grids were
compiled from the best available aermomagnetic surveys
publicly available in 2002.  Best available would
be data having the highest resolution, closest
line-spacing, most accurate instrumentation, most
accurate flight-elevation surface, and similar
specifications commonly used in the airborne surveying
industry.  In many areas, only one survey was available.
In many offshore areas and some onshore areas, no data
were available at all, and these areas were left blank.
</complete>
<posacc>
<horizpa>
<horizpar>
Flight Path Recovery - before about 1975
Horizontal position of the survey aircraft used to collect
data were determined by reconciling down-looking photographs
(recorded on continuous-strip film) with topographic maps
and orthophotoquadrangle maps.  Fiducial numbers and marks,
impressed on any paper strips that were recording data or
added to magnetic tape records, were included
as a function of time to further reconcile location with
instrumentation.

Flight Path Recovery - before about 1990
Horizontal position of the survey aircraft used to collect
data were determined using aircraft navigational aids such
as line-of-sight electronic systems that measure the
distances from each of two ground stations to the aircraft
using microwave or radio transmitters.

Flight Path Recovery - after about 1990
Horizontal position of the survey aircraft used to collect
data were determined using GPS satellite navigation.
</horizpar>
</horizpa>
<vertacc>
<vertaccr>
The aircraft vertical position was determined using the
navigational positioning equipment on the aircraft, which
were radar altimeter and barometric altimeter.

Radar altimeters are estimated to have an error
of 2-5% of the altitude (Richard Hansen, PRJ, Inc.,
written communication).

Barometric altimeters are quite accurate, but are
typically operated in an uncorrected mode.  The
diurnal variation in air pressure over the course of
a flight can produce a 50-100 ft error in the
barometric altimeter reading.  In addition, pressure microcells
create short-period air pressure changes equivalent
to about 10 ft under typical conditions (Richard
Hansen, PRJ, Inc., written communication)

The magnetometer was carried on a &quot;stinger&quot; that was attached
to the aircraft or was carried in a bird towed on a
line that was below the aircraft.  The bird as it is towed is
slightly behind the aircraft and therefore the vertical
distance between the magnetometer and the aircraft is slightly
less than the length of the line but remains constant for
the survey.

Data were either collected at a fixed barometric altitude or
were collected as a draped survey having an average terrain
clearance above the ground.  Because aircraft,
especially airplanes, cannot safely maintain a constant
terrain clearance, error in vertical position is
introduced.
</vertaccr>
</vertacc>
</posacc>
<lineage>
<procstep>
<procdesc>
We obtained all available aeromagnetic surveys.
Some data were digitized from analog maps if digital
data were unavailable.  The remainder were processed
using digital flight-line data.

Details of data acquisition are described in the
booklet that accompanies the printed map.

The marine data were obtained from the National
Geophysical Data Center of the National Oceanic
and Atmospheric Administration spanned the years
1958 through 1997.
</procdesc>
<procdate>2002</procdate>
</procstep>
<procstep>
<procdesc>
Aeromagnetic data were processed so that residual
magnetic values were calculated in a consistent
manner:

- The DGRF, updated to survey date, was removed

- The flight elevation was used to mathematically calculate the equivalent magnetic field at 1,000 ft. above terrain

- obvious errors were corrected

- x-y locations were calculated for the described DNAG projection

- data were gridded at 1/3 - 1/4 of the flight-line spacing, then regridded to 1 km.
</procdesc>
<procdate>2002</procdate>
</procstep>
<procstep>
<procdesc>
Using various USGS in-house programs (before 1999)
or Geosoft/Oasis Montaj (after 1999), gridded data
were mathematically merged together.  For the U.S.
part, scientists merged groups of surveys by state
or groups of states.  States were merged into regions,
and regions into countries. For progress on state
compilations, go to  http://crustal.usgs.gov/namad/

Procedures and software used to compile the 1-km grid
of magnetic data for Canada are detailed on the
Geophysical Data Centre website http://gdcinfo.agg.nrcan.gc.ca
</procdesc>
<procdate>2002</procdate>
</procstep>
<procstep>
<procdesc>
Creation of a wavelength filtered grid.

Because wavelengths greater than roughly 150 km are unreliable
in the compilation, applying a high-pass wavelength filter
would appear to be a viable solution to remove these unreliable
wavelengths.  However, removing wavelengths less than 500 km from
the merged grid creates artifacts, such as spurious separation
of continuous anomalies.  Therefore, we removed anomalies with
wavelengths greater than 500 km from the merged grid to reduce
the effects caused by the erroneous long wavelengths but maintaining
continuity of anomalies.  The correction was accomplished by
transforming the merged grid to the frequency domain, filtering
the transformed data with a long-wavelength cutoff at 500 km,
and subtracting the long-wavelength data grid from the merged grid.
</procdesc>
<procdate>2002</procdate>
</procstep>
<procstep>
<procdesc>
An equivalent source method based on long-wavelength
characterization using satellite data was
used to correct for long-wavelength shifts.

We produced an aeromagnetic grid in which the wavelengths
longer than 500 km have been replaced by downward-continued
CHAMP satellite data.  Steps 0 and 6 were performed by
Bob Kucks.  Steps 1-4 were performed by Tiku Ravat.
Step 5 was performed by Jeff Phillips.

0. The North American 1 km merged grid was decimated to 5 km.

1. This 5 km grid was converted to a 0.05 degree grid.  This
grid was low-pass filtered using a Gaussian filter with a 500 km
cutoff, then decimated to 1 degree.

2. A joint inversion of this 1 degree low-pass aeromagnetic grid
and CHAMP satellite data, with the aeromagnetic data weighted
very low, produced a stabilized downward continuation of the
CHAMP data.

3. The inverted data were interpolated to 0.05 degree and again
low-pass filtered using the same Gaussian 500 km filter to remove

4. The low-pass grid from step 1 was subtracted from the original
0.05 degree aeromagnetic grid to create a 500 km high-pass aeromagnetic
grid.  This grid was added to the low-pass inverted grid from step 3
to get a corrected 0.05 degree aeromagnetic grid.

5. The corrected 0.05 aeromagnetic degree grid was projected to the
DNAG projection and regridded to 5 km.  This was subtracted from the
decimated 5 km aeromagnetic grid to generate a 5 km correction grid.
A matched filter was used to remove short-wavelength artifacts
resulting from the projection and regridding process.

6. The resulting 5 km correction grid was regridded to the original
1 km grid and subtracted from the original 1 km aeromagnetic grid
to generate the final 1 km corrected aeromagnetic grid.
</procdesc>
<procdate>2002</procdate>
</procstep>
</lineage>
</dataqual>
<spdoinfo>
<direct>raster</direct>
<rastinfo>
<rasttype>grid cell</rasttype>
<rowcount>3000</rowcount>
<colcount>5000</colcount>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<mapproj>
<mapprojn>Albers Conical Equal Area</mapprojn>
<albers>
<stdparll>29.5</stdparll>
<stdparll>45.5</stdparll>
<longcm>-96.0</longcm>
<latprjo>37.5</latprjo>
<feast>0</feast>
<fnorth>0</fnorth>
</albers>
</mapproj>
<planci>
<plance>row and column</plance>
<coordrep>
<absres>1000</absres>
<ordres>1000</ordres>
</coordrep>
<plandu>meters</plandu>
</planci>
</planar>
<geodetic>
<horizdn>North American Datum of 1927</horizdn>
<ellips>Clarke 1866</ellips>
<semiaxis>6378206.4</semiaxis>
<denflat>1.0</denflat>
</geodetic>
</horizsys>
</spref>
<eainfo>
<detailed>
<enttyp>
<enttypl>USmag_origmrg.grd</enttypl>
<enttypd>Grid containing the residual total intensity of the Earth&apos;s magnetic field.</enttypd>
</enttyp>
<attr>
<attrlabl>grid cell</attrlabl>
<attrdef>
Residual total intensity of Earth&apos;s magnetic field.

The total magnetic value minus a geomagnetic reference field (GRF),
which is a long-wavelength regional magnetic field.  The most commonly
used reference field is determined from a model developed by the
International Association of Geomagnetism and Aeronomy (IAGA).  The
International Geomagnetic Reference Field (IGRF), is a predictive model
adopted at the beginning of a model period (e.g. in 1989 for 1990-1995).
After the model period, a revised definitive model is adopted, the DGRF.
This is the preferred model to use for removing regional magnetic fields
</attrdef>
<attrdefs>
Nettleton, L.L., 1971, Elementary Gravity and Magnetics for
Geologists and Seismologists: Society of Exploration Geophysicists
Monograph Series No. 1, p. 83-87.

A description of magnetometers and how they measure
the total magnetic field can be found in:

Dobrin, M.B., 1976, Introduction to Geophysical
Prospecting: New York, McGraw-Hill Book Company,
p. 505-517.
</attrdefs>
<attrdomv>
<rdom>
<rdommin>-4937.6</rdommin>
<rdommax>13262.4</rdommax>
<attrunit>nanoteslas</attrunit>
</rdom>
</attrdomv>
<attrdomv>
<edom>
<edomv>-1.0E+32</edomv>
<edomvd>missing data</edomvd>
</edom>
</attrdomv>
<attrvai>
<attrva>2 nanoteslas</attrva>
<attrvae>
The Geomagnetic Reference Field that was subtracted from
the total magnetic value is based on a model, which was
updated to the date of the survey.  New models are
available at five year intervals.  These models have
varying degrees of accuracy in determining the local
reference field.
</attrvae>
</attrvai>
</attr>
</detailed>
<detailed>
<enttyp>
<enttypl>USmag_hp500.grd</enttypl>
<enttypd>Grid made by removing a 500-km high-pass filtered from the total intensity data.</enttypd>
</enttyp>
<attr>
<attrlabl>grid cell</attrlabl>
<attrdef>
500-km high-pass filtered grid calculated from
residual magnetic grid

Because wavelengths greater than roughly 150 km are unreliable
in the compilation, applying a high-pass wavelength filter
would appear to be a viable solution to remove these unreliable
wavelengths.  However, removing wavelengths less than 500 km from
the merged grid creates artifacts, such as spurious separation
of continuous anomalies.  Therefore, we removed anomalies with
wavelengths greater than 500 km from the merged grid to reduce
the effects caused by the erroneous long wavelengths but maintaining
continuity of anomalies.  The correction was accomplished by
transforming the merged grid to the frequency domain, filtering
the transformed data with a long-wavelength cutoff at 500 km,
and subtracting the long-wavelength data grid from the merged grid.
</attrdef>
<attrdefs>standard</attrdefs>
<attrdomv>
<rdom>
<rdommin>-5033.9</rdommin>
<rdommax>13218.7</rdommax>
<attrunit>nanoteslas</attrunit>
</rdom>
</attrdomv>
<attrdomv>
<edom>
<edomv>-1.0E+32</edomv>
<edomvd>missing data</edomvd>
</edom>
</attrdomv>
</attr>
</detailed>
<detailed>
<enttyp>
<enttypl>USmag_CM.grd</enttypl>
<enttypd>Grid made by removing a magnetic field that was calculated from satellite magnetic data by Tiku Ravat of of Southern Illinois University.</enttypd>
</enttyp>
<attr>
<attrlabl>grid cell</attrlabl>
<attrdef>
An equivalent source method based on long-wavelength
characterization using satellite data was
used to correct for long-wavelength shifts.

We produced an aeromagnetic grid in which the wavelengths
longer than 500 km have been replaced by downward-continued
CHAMP satellite data.  Steps 0 and 6 were performed by
Bob Kucks.  Steps 1-4 were performed by Tiku Ravat.
Step 5 was performed by Jeff Phillips.

0. The North American 1 km merged grid was decimated to 5 km.

1. This 5 km grid was converted to a 0.05 degree grid.  This
grid was low-pass filtered using a Gaussian filter with a 500 km
cutoff, then decimated to 1 degree.

2. A joint inversion of this 1 degree low-pass aeromagnetic grid
and CHAMP satellite data, with the aeromagnetic data weighted
very low, produced a stabilized downward continuation of the
CHAMP data.

3. The inverted data were interpolated to 0.05 degree and again
low-pass filtered using the same Gaussian 500 km filter to remove

4. The low-pass grid from step 1 was subtracted from the original
0.05 degree aeromagnetic grid to create a 500 km high-pass aeromagnetic
grid.  This grid was added to the low-pass inverted grid from step 3
to get a corrected 0.05 degree aeromagnetic grid.

5. The corrected 0.05 aeromagnetic degree grid was projected to the
DNAG projection and regridded to 5 km.  This was subtracted from the
decimated 5 km aeromagnetic grid to generate a 5 km correction grid.
A matched filter was used to remove short-wavelength artifacts
resulting from the projection and regridding process.

6. The resulting 5 km correction grid was regridded to the original
1 km grid and subtracted from the original 1 km aeromagnetic grid
to generate the final 1 km corrected aeromagnetic grid.
</attrdef>
<attrdefs>
Ravat, D., Whaler, K.A., Pilkington, M., Sabaka, T., and
Purucker, M., 2002, Compatibility of high-altitude aeromagnetic
and satellite-altitude magnetic anomalies over Canada:
Geophysics, v. 67, p. 546-554.
</attrdefs>
<attrdomv>
<rdom>
<rdommin>-5090</rdommin>
<rdommax>13227</rdommax>
<attrunit>nanoteslas</attrunit>
</rdom>
</attrdomv>
<attrdomv>
<edom>
<edomv>-1.0E+32</edomv>
<edomvd>missing data</edomvd>
</edom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<distinfo>
<distrib>
<cntinfo>
<cntorgp>
<cntorg>DVD distributor: USGS Information Services</cntorg>
</cntorgp>
<cntaddr>
<addrtype>mailing address</addrtype>
<address>
Box 25286, Building 810
Denver Federal Center
</address>
<city>Denver</city>
<state>CO</state>
<postal>80225</postal>
<country>USA</country>
</cntaddr>
<cntvoice>303-202-4700</cntvoice>
<cntemail>www.usgs.gov/pubprod</cntemail>
</cntinfo>
</distrib>
<resdesc>USGS Open-File Report OFR 02-0414</resdesc>
<distliab>
Although all data published in these grids have been used by the USGS,
no warranty, expressed or implied, is made by the USGS as to the
accuracy of the data and related materials.  The act of distribution
shall not constitute any such warranty, and no responsibility is
assumed by the USGS in the use of these data or related materials.

Any use of trade, product, or firm names is for descriptive purposes
only and does not imply endorsement by the U.S. Government.
</distliab>
<stdorder>
<digform>
<digtinfo>
<formname>Geosoft binary grid (GRD)</formname>
<formvern>2</formvern>
<formcont>Magnetic anomaly data:  The residual total intensity of the Earth&apos;s magnetic field</formcont>
<transize>34 megabytes</transize>
</digtinfo>
<digtopt>
<onlinopt>
<computer>
<networka>
<networkr>ftp://ftpext.usgs.gov/pub/cr/co/denver/musette/pub/open-file-reports/ofr-02-0414/USmag_origmrg.grd</networkr>
<networkr>ftp://ftpext.usgs.gov/pub/cr/co/denver/musette/pub/open-file-reports/ofr-02-0414/USmag_origmrg.grd.gi</networkr>
</networka>
</computer>
</onlinopt>
</digtopt>
</digform>
<digform>
<digtinfo>
<formname>Geosoft binary grid (GRD)</formname>
<formvern>2</formvern>
<formcont>Magnetic anomaly data:  500-km high-pass filtered grid calculated from residual magnetic grid</formcont>
<transize>34 megabytes</transize>
</digtinfo>
<digtopt>
<onlinopt>
<computer>
<networka>
<networkr>ftp://ftpext.usgs.gov/pub/cr/co/denver/musette/pub/open-file-reports/ofr-02-0414/USmag_hp500.grd</networkr>
<networkr>ftp://ftpext.usgs.gov/pub/cr/co/denver/musette/pub/open-file-reports/ofr-02-0414/USmag_hp500.grd.gi</networkr>
</networka>
</computer>
</onlinopt>
</digtopt>
</digform>
<digform>
<digtinfo>
<formname>Geosoft binary grid (GRD)</formname>
<formvern>2</formvern>
<formcont>Magnetic anomaly data:  The result of removing a magnetic field that was calculated from satellite magnetic data by Tiku Ravat of Southern Illinois University</formcont>
<transize>34 megabytes</transize>
</digtinfo>
<digtopt>
<onlinopt>
<computer>
<networka>
<networkr>ftp://ftpext.usgs.gov/pub/cr/co/denver/musette/pub/open-file-reports/ofr-02-0414/USmag_CM.grd</networkr>
<networkr>ftp://ftpext.usgs.gov/pub/cr/co/denver/musette/pub/open-file-reports/ofr-02-0414/USmag_CM.grd.gi</networkr>
</networka>
</computer>
</onlinopt>
</digtopt>
</digform>
<fees>none</fees>
</stdorder>
</distinfo>
<metainfo>
<metd>20030303</metd>
<metc>
<cntinfo>
<cntperp>
<cntper>Robert P. Kucks</cntper>
<cntorg>U.S. Geological Survey</cntorg>
</cntperp>
<cntaddr>
<addrtype>mailing address</addrtype>
<address>
U.S. Geological Survey
Box 25046 Mail Stop 964
Denver Federal Center
</address>
<city>Denver</city>
<state>CO</state>
<postal>80225</postal>
<country>USA</country>
</cntaddr>
<cntvoice>303-236-1405</cntvoice>
<cntemail>rkucks@usgs.gov</cntemail>
</cntinfo>
</metc>
<metstdn>Content Standard for Digital Geospatial Metadata</metstdn>
<metstdv>FGDC-STD-001-1998</metstdv>
</metainfo>
</metadata>
